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General information

URL: http://cortecon.neuralsci.org
Full name:
Description: A Temporal Transcriptome Analysis of In Vitro Human Cerebral Cortex Development From Human Embryonic Stem Cells. This resource provides a number of different views into expression data captured in the developing cortex
Year founded: 2014
Last update:
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Country/Region: United States

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Contact information

University/Institution: Neural Stem Cell Intstitute
Address: Neural Stem Cell Intstitute, Rensselaer, NY 12144, USA
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Country/Region: United States
Contact name (PI/Team): Sally Temple
Contact email (PI/Helpdesk): sallytemple@neuralsci.org

Publications

24991954
CORTECON: a temporal transcriptome analysis of in vitro human cerebral cortex development from human embryonic stem cells. [PMID: 24991954]
van de Leemput J, Boles NC, Kiehl TR, Corneo B, Lederman P, Menon V, Lee C, Martinez RA, Levi BP, Thompson CL, Yao S, Kaykas A, Temple S, Fasano CA.

Many neurological and psychiatric disorders affect the cerebral cortex, and a clearer understanding of the molecular processes underlying human corticogenesis will provide greater insight into such pathologies. To date, knowledge of gene expression changes accompanying corticogenesis is largely based on murine data. Here we present a searchable, comprehensive, temporal gene expression data set encompassing cerebral cortical development from human embryonic stem cells (hESCs). Using a modified differentiation protocol that yields neurons suggestive of prefrontal cortex, we identified sets of genes and long noncoding RNAs that significantly change during corticogenesis and those enriched for disease-associations. Numerous alternatively spliced genes with varying temporal patterns of expression are revealed, including TGIF1, involved in holoprosencephaly, and MARK1, involved in autism. We have created a database (http://cortecon.neuralsci.org/) that provides online, query-based access to changes in RNA expression and alternatively spliced transcripts during human cortical development.

Neuron. 2014:83(1) | 127 Citations (from Europe PMC, 2024-04-27)

Ranking

All databases:
810/6000 (86.517%)
Expression:
135/1143 (88.276%)
810
Total Rank
126
Citations
12.6
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Record metadata

Created on: 2018-01-28
Curated by:
Mansoor Khan [2018-04-24]
Mansoor Khan [2018-04-16]
Mansoor Khan [2018-04-04]
Qi Wang [2018-01-28]